Alternatives to Cursor

JetBrains Junie is an innovative AI coding assistant that works inside many JetBrains IDEs to streamline programming efforts and boost efficiency. This agent leverages advanced AI to help developers write, test, and inspect code without leaving their familiar development environment. Junie offers both code execution and interactive collaboration, allowing programmers to switch between automated code writing and brainstorming sessions for features and improvements. By deeply understanding the codebase, Junie identifies the best ways to tackle tasks and ensures all changes meet quality standards through syntax and semantic checks. It also runs tests to minimize errors and keep the project healthy, freeing developers from routine tasks. Many developers have successfully built complex applications and games using Junie, highlighting its flexibility across different languages and frameworks. The AI adapts to each task’s complexity and workflow, making coding less tedious and more focused on creativity. Whether you are building a simple web app or a complex game, Junie offers smart support throughout the development cycle.

Google AI Studio is an all-in-one environment designed for building AI-first applications with Google’s latest models. It supports Gemini, Imagen, Veo, and Gemma, allowing developers to experiment across multiple modalities in one place. The platform emphasizes vibe coding, enabling users to describe what they want and let AI handle the technical heavy lifting. Developers can generate complete, production-ready apps using natural language instructions. One-click deployment makes it easy to move from prototype to live application. Google AI Studio includes a centralized dashboard for API keys, billing, and usage tracking. Detailed logs and rate-limit insights help teams operate efficiently. SDK support for Python, Node.js, and REST APIs ensures flexibility. Quickstart guides reduce onboarding time to minutes. Overall, Google AI Studio blends experimentation, vibe coding, and scalable production into a single workflow.

Hostinger Horizons is a no-code platform that empowers users to build and deploy web applications in minutes. Using AI, it allows entrepreneurs and businesses to turn their ideas into real applications without needing coding skills. Simply describe your app’s functionality, make adjustments using prompts, and deploy it with a single click. With responsive design and mobile-friendly features, apps created with Hostinger Horizons are ready for use on any device. The platform also includes web hosting and professional email services, helping users streamline the app development process and focus on growing their business. It’s an ideal solution for anyone looking to create a custom app quickly and cost-effectively.

Retool is a modern AI-native application development platform designed to help teams build internal software quickly and efficiently. It enables users to create agents, workflows, dashboards, and full-stack apps using natural language prompts and visual tools. Retool connects directly to databases, APIs, vector stores, and AI models to ensure applications work seamlessly with existing systems. The platform allows teams to transform raw data into actionable tools such as dashboards, admin panels, and monitoring systems. With drag-and-drop UI building, code-level customization, and AI-assisted generation, Retool supports multiple development styles. Built-in workflows automate complex processes while maintaining auditability and security. Retool fits naturally into standard engineering stacks with support for CI/CD and version control. Enterprise-grade permissions and hosting options ensure sensitive data stays protected. Used by thousands of companies worldwide, Retool helps teams ship AI-powered software faster. It bridges the gap between idea and production with speed and control.

Windsurf is a cutting-edge IDE designed for developers to maintain focus and productivity through AI-driven assistance. At the heart of the platform is Cascade, an intelligent agent that not only fixes bugs and errors but also anticipates potential issues before they arise. With built-in features for real-time code previews, automatic linting, and seamless integrations with popular tools like GitHub and Slack, Windsurf streamlines the development process. Developers can also benefit from memory tracking, which helps Cascade recall past work, and smart suggestions that enhance code optimization. Windsurf’s unique capabilities ensure that developers can work faster and smarter, reducing onboarding time and accelerating project delivery.

Enhance the speed and efficiency of software development and delivery by leveraging generative AI support, all while ensuring robust enterprise security and privacy safeguards. Gemini Code Assist streamlines your coding process by completing your code as you type and can generate entire code blocks or functions upon request. This powerful code assistance tool is compatible with a variety of popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs (including IntelliJ, PyCharm, GoLand, and WebStorm), as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 programming languages such as Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Utilizing a natural language chat interface, you can easily interact with Gemini Code Assist to obtain solutions to your coding queries or gain insights into coding best practices, with chat functionality accessible across all supported IDEs. Organizations have the flexibility to tailor Gemini Code Assist by integrating their private codebases and knowledge repositories, enabling the tool to provide more personalized assistance that aligns with specific enterprise needs. Furthermore, Gemini Code Assist has the capability to facilitate extensive modifications across entire codebases, thereby optimizing the development workflow significantly. This adaptability not only boosts productivity but also empowers teams to innovate more rapidly in a secure environment.

Amp is a next-generation coding agent engineered for developers working at the frontier of software development. It brings powerful AI agents directly into the terminal and code editors, allowing engineers to build, refactor, review, and explore large codebases with minimal friction. Unlike simple code assistants, Amp operates agentically, running subagents, managing context, and making coordinated changes across dozens of files. It supports multiple state-of-the-art models and continuously evolves with frequent updates, new agents, and performance improvements. Features like agentic code review, clickable diagrams, fast search subagents, and context-aware analysis make Amp feel like a true engineering partner rather than a chat tool. By reducing manual overhead and increasing leverage, Amp enables teams to focus on higher-level design and problem solving. The result is faster iteration, cleaner architectures, and more ambitious builds.

K.Explorer is an AI system that creates better software faster, cheaper, and more efficiently. A coding assistant that increases developer productivity. An AI pair programmer that suggests code completions and complete function bodies as you type. You can also search the engine for help. It is an AI-powered Code Assistant that has been trained on millions of lines of code from private corporations, as well as billions of lines of open-source code for general purposes. Natural Language allows programmers to receive guidance and tell a text story about what code they are writing.

Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support enterprises, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.

BLACKBOX AI is a powerful AI-driven platform that revolutionizes software development by providing a fully integrated AI Coding Agent with unique features such as voice interaction, direct GPU access, and remote parallel task processing. It simplifies complex coding tasks by converting Figma designs into production-ready code and transforming images into web apps with minimal manual effort. The platform supports seamless screen sharing within popular IDEs like VSCode, enhancing developer collaboration. Users can manage GitHub repositories remotely, running coding tasks entirely in the cloud for scalability and efficiency. BLACKBOX AI also enables app development with embedded PDF context, allowing the AI agent to understand and build around complex document data. Its image generation and editing tools offer creative flexibility alongside development features. The platform supports mobile device access, ensuring developers can work from anywhere. BLACKBOX AI aims to speed up the entire development lifecycle with automation and AI-enhanced workflows.

GitHub Copilot is an AI-driven coding assistant that helps developers code, collaborate, and ship software more efficiently. It integrates natively with IDEs, GitHub repositories, command-line tools, and project workflows. Copilot supports a wide range of programming languages and platforms, making it adaptable to diverse development environments. Developers can choose from multiple AI models to balance performance, accuracy, and cost. The editor experience includes intelligent code completion, explanations, refactoring suggestions, and agent mode for deeper automation. Copilot can be assigned issues to autonomously generate code and pull requests in the background. Terminal integration allows developers to execute complex workflows using natural language commands. For teams, Copilot can be customized with shared organizational knowledge and documentation. Enterprise controls provide governance, audit logs, and secure integrations. Overall, GitHub Copilot acts as a productivity multiplier across the entire software development lifecycle.

Utilize our complimentary, collaborative IDE that operates in your browser to write code in over 50 programming languages—no setup time required. Begin coding in your preferred language across any device, operating system, or platform. You can easily invite friends, team members, and colleagues to collaborate in real-time, similar to Google Docs editing. Seamlessly import, execute, and work together on countless GitHub repositories without any manual configurations. Whether you’re interested in Python, C++, HTML, or CSS, our platform allows you to learn and code in whatever language you choose, all in one place. The moment you create a new repl, it becomes live and shareable instantly with others around the globe. Join a community of over 3 million enthusiastic programmers, technologists, creatives, and learners eager to enhance their coding skills. Boost your team's efficiency with dynamic documentation, real-time collaboration features, and effortless remote interviewing options. Additionally, you can build applications programmatically, develop bots, and tailor the IDE with plugins to meet your specific requirements, ensuring a personalized coding experience. This all-in-one platform is designed to make coding more accessible and engaging for everyone.

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

Enhance your app development speed with a machine learning-driven coding assistant. This innovative tool boosts application creation by providing automatic code suggestions tailored to the code and comments within your integrated development environment (IDE). It enables developers to responsibly leverage artificial intelligence (AI) for crafting applications that are both syntactically correct and secure. Rather than hunting for and modifying code snippets online, you can effortlessly generate entire functions and logical blocks. Maintain your focus without leaving the IDE, as you receive real-time, personalized code suggestions for all your projects in Java, Python, and JavaScript. Amazon CodeWhisperer serves as an ML-enhanced service designed to elevate developer efficiency by offering code recommendations based on natural language comments and existing code within the IDE. This tool not only accelerates both frontend and backend development but also saves valuable time by assisting in generating code to build and train your machine learning models, ultimately streamlining the entire development process. With such capabilities, developers can innovate faster than ever before.

Claude Code by Anthropic brings agentic AI development to your terminal, transforming how teams work with large and complex codebases. It connects natively to GitHub, GitLab, and local environments, giving developers the power to search, explain, and edit code with simple prompts. Claude Code can onboard new developers by mapping entire repositories, explaining architectures, and summarizing dependencies within seconds. It also automates tedious workflows—such as issue triage, refactoring, testing, and PR submission—by turning them into single-command actions. With support for models like Claude 3.5 Sonnet and Claude 3 Opus, it delivers contextual reasoning and multi-file understanding unmatched by typical copilots. Its agentic command-line interface makes it feel like an intelligent collaborator embedded in your workflow. Integration is simple: install it via npm and start coding at “thought speed.” Claude Code helps teams move from concept to commit effortlessly, combining the familiarity of the terminal with the intelligence of Claude.

Kiro is an advanced integrated development environment powered by artificial intelligence, designed to streamline AI-driven programming by transforming natural-language instructions into structured requirements, system architectures, and specific implementation tasks that undergo thorough testing. Created specifically for autonomous workflows, it offers features such as specification-based development, multimodal communication, and "agent hooks" that activate background tasks during events like file saving, alongside an autopilot mode that takes charge of executing lengthy scripts while keeping the user engaged. By effectively managing context, Kiro minimizes repetitive tasks and simplifies the integration of complex functionalities within extensive codebases. Its built-in integrations with MCP allow seamless connections to documentation, databases, and APIs, and users can influence the development process using visual aids like UI designs or architecture blueprints. With a strong focus on enterprise-level security and privacy, Kiro guarantees safe deployment, while compatibility with Claude Sonnet models, Open VSX plugins, and existing VS Code configurations ensures an intuitive and AI-enhanced experience. Additionally, the platform continuously evolves, adapting to user feedback and emerging technologies to maintain its position at the forefront of software development tools.

Kodu is an innovative platform driven by AI that empowers individuals to conceptualize, prototype, and create software applications without requiring extensive coding skills. Its standout feature is Claude Code, an extension for VSCode that integrates agentic coding functionalities directly into the editor: this tool can autonomously generate code, analyze changes it implements, convert pasted images or mockups into operational user interfaces, and execute command-line instructions all within a chat interface. In addition, Kodu provides Kodu Engineer, a voice-activated assistant that allows users to articulate their project ideas in everyday language while observing the real-time development of their application through screen sharing and immediate deployment. The platform operates on its proprietary "Kodu Cloud" inference API, utilizing a "rateless" model connection that enables users to efficiently prototype and enhance applications. Furthermore, Kodu's seamless workflow bridges the gap between ideation, design, and production, streamlining the transition from mockup to fully operational app with minimal obstacles or delays. This comprehensive approach not only simplifies the development process but also encourages creativity and innovation among users.

NEO functions as an autonomous machine learning engineer, embodying a multi-agent system designed to seamlessly automate the complete ML workflow, allowing teams to assign data engineering, model development, evaluation, deployment, and monitoring tasks to an intelligent pipeline while retaining oversight and control. This system integrates sophisticated multi-step reasoning, memory management, and adaptive inference to address intricate challenges from start to finish, which includes tasks like validating and cleaning data, model selection and training, managing edge-case failures, assessing candidate behaviors, and overseeing deployments, all while incorporating human-in-the-loop checkpoints and customizable control mechanisms. NEO is engineered to learn continuously from outcomes, preserving context throughout various experiments, and delivering real-time updates on readiness, performance, and potential issues, effectively establishing a self-sufficient ML engineering framework that uncovers insights and mitigates common friction points such as conflicting configurations and outdated artifacts. Furthermore, this innovative approach liberates engineers from monotonous tasks, empowering them to focus on more strategic initiatives and fostering a more efficient workflow overall. Ultimately, NEO represents a significant advancement in the field of machine learning engineering, driving enhanced productivity and innovation within teams.

Lovable empowers users to create interactive web applications effortlessly by simply using natural language. Describe your idea, and the platform transforms it into fully functional, visually appealing web apps in minutes. Developers and non-developers alike can leverage its intuitive interface to build applications while retaining the flexibility to let humans take over and customize the code at any time. With built-in version control through Git and seamless GitHub synchronization, collaboration and code management become hassle-free. The platform also supports one-click deployment, allowing you to bring your app to life instantly. By combining AI-driven development with robust customization options, Lovable offers an ideal solution for creating and deploying web apps efficiently and effectively.

Lingma serves as Alibaba Cloud's AI-driven coding assistant, aimed at enhancing the efficiency of software development processes. Featuring capabilities such as line and function-level real-time code completion, natural language-based code generation, and smart troubleshooting, it allows developers to articulate their requirements in simple language, resulting in automatically generated code within the editor. Supporting an extensive array of over 200 programming languages, Lingma also offers in-depth code explanations accompanied by visual flow charts. Furthermore, it can assess codebases to produce unit tests, automatically compile and execute code, and rectify issues to boost test coverage. Users can even upload images for contextual analysis, which aids in generating code or delivering bug fixes based on specified requirements. For corporate users, Lingma seamlessly integrates with private data sources, such as documents and repositories, to refine its model outputs and ensure they adhere to company standards, thereby maximizing its utility in professional environments. Additionally, this integration fosters a collaborative atmosphere for development teams, promoting a more streamlined workflow across projects.

The JetBrains AI Assistant integrates your integrated development environment (IDE) with both third-party and proprietary large language models (LLMs) that are tailored for specific functionalities. This integration allows the AI Assistant to deliver accurate and context-sensitive support, assisting with tasks such as generating code snippets, completing intricate code structures, and developing automated tests efficiently. We prioritize the security of your data and code! JetBrains AI Assistant guarantees that your code snippets remain confidential and are neither stored nor shared, irrespective of whether they come from public repositories, private repositories, or local files. Adhering to the JetBrains AI Terms of Service is fundamental to our practices, ensuring that neither we nor our affiliated service providers utilize your data or code for the purpose of training any generative AI models. Additionally, this commitment to privacy and data integrity fosters a trustworthy environment for developers.

IntelliJ IDEA is a powerful and versatile IDE tailored for professional Java and Kotlin developers who want to maximize their productivity and code quality. It provides comprehensive support across the entire development process, including design, coding, debugging, testing, and deployment. With smart code analysis, safe refactoring, and error detection, IntelliJ IDEA minimizes bugs and technical debt so developers can focus on innovation. The latest version adds full support for Java 24 features and enables Kotlin’s K2 mode by default, improving performance and memory efficiency. New interactive Kotlin notebooks allow real-time prototyping and data visualization within the IDE. IntelliJ IDEA also includes advanced debugging tools like the Spring Debugger for managing dynamic database connections. JetBrains prioritizes developer comfort with an intuitive interface and customizable settings. The IDE adheres to strict privacy and security standards, ensuring developers’ data remains protected.

Macroscope serves as an AI-driven analytics and visibility platform tailored for engineering and product teams, linking seamlessly with a company's codebase, commit history, issue tracking systems like Linear or Jira, and Slack to automatically produce insights regarding the development process. By employing code-walking techniques on the Abstract Syntax Tree (AST), it comprehensively evaluates changes to grasp the relationships and dependencies within the code, ultimately generating summaries for commits, pull requests (which include automated reviews and descriptions), shifts in the overall codebase, and patterns in feature development or bug resolution. Stakeholders can inquire about progress using natural language queries, such as “What did we ship last week?”, gain insights into the allocation of engineering resources, identify significant bugs with a reduced rate of false positives, and monitor productivity and status without the need to scrutinize every single difference in the code. This tool enhances the efficiency of communication among team members by centralizing information and fostering a clearer understanding of project statuses.

xAI’s Grok 4 represents a major step forward in AI technology, delivering advanced reasoning, multimodal understanding, and improved natural language capabilities. Built on the powerful Colossus supercomputer, Grok 4 can process text and images, with video input support expected soon, enhancing its ability to interpret cultural and contextual content such as memes. It has outperformed many competitors in benchmark tests for scientific and visual reasoning, establishing itself as a top-tier model. Focused on technical users, researchers, and developers, Grok 4 is tailored to meet the demands of advanced AI applications. xAI has strengthened moderation systems to prevent inappropriate outputs and promote ethical AI use. This release signals xAI’s commitment to innovation and responsible AI deployment. Grok 4 sets a new standard in AI performance and versatility. It is poised to support cutting-edge research and complex problem-solving across various fields.

Google Antigravity is Google’s next-generation AI IDE, purpose-built to transform software creation through agentic automation and contextual intelligence. It integrates intelligent agents directly into your coding environment, allowing them to plan, execute, and verify tasks across the editor, terminal, and browser in real time. Developers can interact with agents using natural language, refining outputs and validating code through a feedback-driven interface that fosters trust and transparency. Antigravity’s synchronized agentic control ensures that multiple agents work together efficiently, maintaining shared context across workspaces and surfaces. The IDE introduces task-oriented workflows, enabling developers to focus on higher-level architecture and design while agents handle implementation and iteration. With tab autocompletion, smart command execution, and artifact-based verification, Antigravity streamlines the development lifecycle from ideation to deployment. Available at no charge for individuals, it empowers both professionals and hobbyists to achieve new levels of productivity. By combining intelligent autonomy with human oversight, Google Antigravity bridges the gap between traditional development and the agent-first future.

GoCodeo is a comprehensive AI platform for developers that accelerates coding, testing, and debugging processes. The platform integrates with VS Code to offer real-time assistance, from generating code snippets to automatically creating unit tests. GoCodeo’s AI-driven tools also provide debugging insights, enabling developers to identify and fix issues faster. With support for multiple programming languages and frameworks, GoCodeo empowers developers to write high-quality, production-ready code with less effort, streamlining development cycles and enhancing efficiency across projects.

Stitch is an innovative UI design tool developed by Google Labs that utilizes AI to help users create responsive web and mobile interfaces through natural language input or image uploads. By harnessing the capabilities of Gemini 2.5 Pro, Stitch allows individuals to articulate their app concepts in simple English, specifying elements such as color schemes and user interactions, or they can upload their own sketches and wireframes for automatic digital UI generation. This tool promotes quick design iterations by offering various design alternatives and ensures a smooth transition to development with features like 'Paste to Figma' and the ability to export clean, functional front-end code. Designed to enhance the workflow from design to development, Stitch is tailored for designers, developers, and product teams, enabling them to efficiently turn their visions into working prototypes. Additionally, its user-friendly interface makes it easy for individuals with varying levels of expertise to engage with the design process.

Accelerate the development of highly secure software with the assistance of AI throughout every phase of the software development process. GitLab Duo serves as an AI-enhanced companion that is seamlessly woven into the GitLab ecosystem, aiming to boost productivity and foster teamwork in software development. It offers smart code recommendations, aids in code refactoring and debugging, and simplifies workflows by automating mundane tasks. Additionally, GitLab Duo allows for natural language inquiries related to project management and development insights, granting developers a more intuitive way to engage with their repositories. With integration into popular IDEs such as JetBrains and Neovim, GitLab Duo provides uninterrupted support within the environments that developers favor. Through the fusion of AI-driven productivity and GitLab’s comprehensive DevSecOps capabilities, GitLab Duo empowers teams to produce superior software at a quicker pace while enhancing collaborative efforts. This innovative tool ultimately transforms the way teams approach software development.

We empower individuals to develop or modify software solutions for their personal use through AI and a fully-managed runtime environment. GitHub Spark serves as an AI-driven platform for crafting and disseminating micro apps, known as "sparks," which can be customized to fit your specific requirements and are easily accessible on both desktop and mobile devices. This process eliminates the need for any coding or deployment. The functionality is achieved through a seamless integration of three core components: a natural language-based editor that simplifies the expression of your concepts and allows for gradual refinement; a managed runtime that supports your sparks by offering data storage, theming, and access to LLMs; and a PWA-compatible dashboard for managing and launching your sparks from any location. Moreover, GitHub Spark facilitates sharing your creations with others while allowing you to set permissions for read-only or read-write access. Users who receive your sparks can choose to mark them as favorites, utilize them directly, or remix them to better fit their individual needs. This collaborative aspect enhances the adaptability and usage of the software, fostering a community of innovation.

OpenAI Codex is a powerful AI tool that helps developers accelerate their coding workflows by automating a variety of tasks. From writing features and running tests to proposing pull requests (PRs) and answering questions about the codebase, Codex can take on these tasks in parallel. Each task runs in its own secure cloud environment, preloaded with the relevant repository, ensuring safe and efficient operations. Codex is available to ChatGPT Pro, Enterprise, and Team users, with future access for Plus and Edu users. By using Codex, developers can offload repetitive tasks, speed up feature development, and focus more on higher-level, strategic work.

Build fully functional web applications and websites in minutes, not weeks. Heliocrafts takes your text prompt and writes the production-grade code for you. It’s not just a design tool—it builds real software with a full IDE included, so you can customize every detail. Perfect for building dashboards, SaaS tools, and custom websites without the grunt work.

Kilo Code enables developers to accelerate their engineering workflows using an advanced, fully open-source coding agent built for real-world productivity. It provides specialized modes for planning, coding, debugging, orchestrating tasks, and answering technical questions without altering the existing codebase. The platform automatically detects errors, runs tests, and fixes failures, reducing the frustration of AI-generated mistakes. With its MCP marketplace and tools like Context7, Kilo grounds its output in accurate documentation to eliminate hallucinations. Developers benefit from seamless installation across major IDEs, terminals, and JetBrains environments, making it easy to integrate into existing workflows. The system supports multiple AI agents running in parallel, drastically increasing speed when tackling complex problems. Kilo also offers transparent model usage, open-source governance, and compatibility with more than 60 providers at honest, list-rate pricing. With hundreds of thousands of developers adopting it—many migrating from Cursor—Kilo has become a leading platform for agentic engineering.

We are convinced that agentic technology holds significant value that should not be monopolized by a small number of corporations. Therefore, we are developing all our agents transparently on GitHub, utilizing the MIT license for open accessibility. Capable of performing any task a human developer can, our agents write code, execute commands, and access the web effectively. To ensure a harmonious blend of innovation and safety, we are collaborating with AI safety experts such as Invariant Labs. A vast community of developers is uniting to shape the AI-driven future they envision. Additionally, our agents are designed to be compatible with any provider of large language models, enhancing their versatility and reach. This commitment to openness and collaboration is paving the way for a more equitable technological landscape.

An AI-driven coding assistant operates seamlessly in the background, allowing you to concentrate on essential responsibilities. By integrating with GitHub and utilizing cutting-edge Gemini models, Jules is capable of: - Developing code tailored to address your specific problems - Decomposing intricate programming assignments into manageable tasks - Comprehending and navigating through your existing codebase - Executing and verifying modifications using unit tests - Adjusting its strategy based on the feedback you provide This innovative tool ultimately enhances your productivity by streamlining the coding process.

Jolt is an innovative AI tool specifically tailored for code generation and communication, ideal for extensive codebases that can range from 100,000 to several million lines. It autonomously identifies pertinent context files, produces cohesive changes across multiple files, and adheres to the established coding style. Users can delegate tasks to Jolt, which can efficiently write over 80% of the necessary code, adeptly managing medium to large codebases while making alterations to more than 10 files and 1,000 lines of code in one go. Additionally, Jolt devises a detailed, file-by-file implementation strategy, which ensures that the generated code is not only predictable but also aligns with the desired development approach, significantly assisting developers who are integrating new codebases. The tool smoothly integrates with well-known Integrated Development Environments (IDEs), streamlining the process of developing new features, writing tests, fixing bugs, and more, ultimately resulting in a time savings of up to 50% on typical tasks. With its capability to accurately select context files within extensive codebases, Jolt consistently produces multi-file changes that are in harmony with the existing coding standards, making it an indispensable asset for software development teams. This efficiency not only enhances productivity but also fosters better collaboration among developers.

Mistral Code is a cutting-edge AI coding assistant tailored for enterprise software engineering teams that need frontier-grade AI capabilities combined with security, compliance, and full IT control. Building on the proven open-source Continue project, Mistral Code delivers a vertically integrated solution that includes state-of-the-art models like Codestral, Codestral Embed, Devstral, and Mistral Medium for comprehensive coding assistance—from autocomplete to agentic coding and chat support. It supports local, cloud, and serverless deployments, allowing enterprises to choose how and where to run AI-powered coding workflows while ensuring all code and data remain within corporate boundaries. Addressing key enterprise pain points, Mistral Code offers deep customization, broad task automation beyond simple suggestions, and unified SLAs across models, plugins, and infrastructure. The platform is capable of reasoning over code files, Git diffs, terminal output, and issues, enabling engineers to complete fully scoped development tasks with configurable approval workflows to keep senior engineers in control. Enterprises such as Spain’s Abanca, France’s SNCF, and global integrator Capgemini rely on Mistral Code to boost developer productivity while maintaining compliance in regulated industries. The system includes a rich admin console with granular platform controls, seat management, and detailed usage analytics for IT managers. Mistral Code is currently in private beta for JetBrains IDEs and VSCode, with general availability expected soon.

KitchenAI is a framework designed for developers that simplifies the conversion of AI Jupyter Notebooks into APIs that are ready for production use. It connects AI developers, application developers, and infrastructure developers by offering a comprehensive API server equipped with default routes, an easy-to-use command-line interface for swift setup, and a flexible plugin architecture. This innovative design empowers users to create a variety of AI methodologies, quickly test them, iterate efficiently, and share their results with ease. For AI developers, KitchenAI enhances scalability in environments they are already accustomed to, transforming notebooks into strong applications. Application developers gain from user-friendly SDKs and tools that streamline the incorporation of AI via straightforward APIs, enabling rapid testing to identify the best AI techniques for their specific needs. Additionally, infrastructure developers have the capability to seamlessly integrate with AI tools and systems, further enhancing the overall functionality and user experience. This collaborative approach fosters a more efficient development process, ultimately benefiting all parties involved.

Introducing an all-in-one AI coding companion designed for your preferred code editor, it seamlessly integrates with advanced models such as GPT-4o and Claude 3.5 Sonnet. This innovative tool provides real-time code suggestions tailored to your cursor's position and the comments you write as you code. You can effortlessly select any piece of code and modify it using a straightforward prompt, enabling you to tweak functions or even overhaul entire classes with ease. Engage with your active files or explore a fully indexed codebase by utilizing top-tier models like Claude 3.5 Sonnet or GPT-4o, and if you encounter issues, simply send a screenshot for prompt debugging assistance. Just instruct Monica Code to generate or adjust multiple files, while navigating through various versions of your code seamlessly. By articulating your needs in everyday language, Monica Code can help you produce relevant code snippets or structures in the programming language of your choice, proving invaluable for a range of programming projects, from basic scripts to intricate application frameworks. This powerful tool not only enhances productivity but also fosters a more intuitive coding experience.

The Mistral Vibe CLI is an innovative command-line tool designed for "vibe-coding," allowing developers to engage with their projects using natural language commands instead of relying solely on tedious manual edits or traditional IDE functionalities. This interface integrates with version control systems like Git, examining project files, the structure of directories, and the status of Git to establish context. It leverages this context alongside advanced AI coding models, such as Devstral 2 and Devstral Small, to perform a variety of tasks including multi-file edits, code refactoring, code generation, searching, and manipulating files— all initiated through simple English instructions. By keeping track of project-specific details such as dependencies, file organization, and history, it is capable of executing coordinated updates across multiple files at once, such as renaming a function and ensuring all references throughout the repository are adjusted accordingly. Additionally, it can create boilerplate code across different modules and even help outline new features starting from an overarching prompt, significantly streamlining the development process. This approach not only enhances productivity but also fosters a more intuitive coding environment for developers.

Incorporating questions or generating code within the context of your codebase can yield precise outcomes, enhancing your work with specific folders, online documentation, terminal output, and files. PearAI enables direct coding in your projects while providing visibility into the differences through diffs. For instance, by using CMD+I (or CTRL+I on Windows), you can request PearAI's assistance in implementing error handling and adding comments. Remarkably, without writing any code ourselves, we successfully introduced a new feature to the unfamiliar codebase by creating a documentation page for the PearAI landing site. This approach can significantly accelerate your development process by integrating AI smoothly into your daily tasks. The primary aim of PearAI is to shorten the journey from concept to implementation. As coding remains an essential element of product development, we anticipate that advancements in AI will profoundly transform this landscape in the foreseeable future. Our mission is to cultivate an environment that embraces these transformative changes, addressing both immediate needs and future developments as they arise. As technology evolves, we aspire to keep pace with innovations that will reshape the way developers work and create.

Onlook is an innovative, open-source editor focused on visual interaction that allows designers and product managers to create and modify web experiences using React and Next.js in real time, all within a browser-like environment. By integrating seamlessly with existing codebases, Onlook facilitates live DOM editing while ensuring immediate code updates and ready-to-deploy outputs. Its visual editing interface includes features such as drag-and-drop layout modifications, Tailwind CSS integration for styling, layer navigation, and responsive breakpoint management. Enhanced by AI capabilities, it can generate components based on textual descriptions, ensure design system consistency through global styles, typography, and color tokens, convert Figma designs into functional code, and provide intelligent design recommendations. Users can easily import projects from platforms like GitHub or Figma, receive instant visual feedback through live previews, handle version control with checkpoints and real-time updates, and deploy their projects directly from Onlook. This powerful tool not only streamlines the design process but also fosters collaboration and enhances productivity for teams working on web development.

Create stunning, contemporary web applications with remarkable speed and ease. Simply articulate your needs, and Replit's AI Agent will construct it for you. Introducing Replit Agent, a sophisticated AI designed to make coding easy for everyone. Develop at lightning speed and have your project ready for launch in mere minutes. Just provide a description of the application or website you wish to create, and Replit AI will assist you in refining your ideas for optimal outcomes. Replit Agent will devise a strategy to turn your vision into reality. Begin with a basic prototype and gradually incorporate additional features by issuing straightforward prompts. Enhance your project through a user-friendly chat interface, where the agent will solicit your feedback after each phase of the development plan, ensuring your requests are seamlessly integrated into subsequent tasks. You can deploy your application or website to a live URL in just a few minutes. With support from Google Cloud, Replit Deployments empower you to launch your startup, streamline your work processes, expand your audience, and accomplish more — all at an unprecedented pace. Plus, with continuous updates and improvements, your projects can evolve alongside your ambitions.

Launch your concept in just days instead of weeks with Riff, the pioneering AI app developer. Simply express your requirements through natural language, images, or diagrams, and watch as AI constructs React UIs for you. Enhance your product by integrating it with any service, connecting to various APIs or models to unlock its complete capabilities. With Riff, you can instruct it to create Python APIs that scrape websites, gather data from different systems, and much more. We ensure that you continuously deliver value to your clientele while managing the security and infrastructure on your behalf. Whether you are an independent developer creating a micro SaaS or an established business providing online services, we offer a tailored plan that meets your specific needs. We consistently assess the most effective models available for the intelligent framework you interact with in Riff. For those looking to develop an app that leverages a particular model or service, it's essential to either provide your API key/secrets for your application or obtain them from the users of your application as needed. This way, you can maximize the app's functionality while ensuring a seamless experience for your users.

Sourcegraph is an enterprise-grade code intelligence platform that empowers both humans and AI agents to understand and manage sprawling codebases. It combines lightning-fast code search, agentic AI-powered Deep Search, and automation tools like Batch Changes to turn insights into action. Teams can search millions of repositories, analyze patterns, and make large-scale changes safely and efficiently. With features like Sourcegraph MCP, the platform improves the accuracy and effectiveness of coding agents operating in legacy and complex systems. Built with security, scalability, and compliance at its core, Sourcegraph helps organizations ship faster without losing control of their code. It bridges the gap between rapid AI-driven development and long-term code quality.

Pythagora is an innovative platform powered by artificial intelligence that assists developers in creating comprehensive web applications while significantly reducing the amount of coding required. It features an array of AI agents that work together to generate code, conduct reviews, create tests, troubleshoot issues, and deploy applications seamlessly. By automating numerous steps in the software development lifecycle, Pythagora enhances developer productivity and speeds up the overall development timeline. The platform facilitates frontend development using React and backend processes with Node.js, with plans to introduce Python support shortly. With its capability to manage various facets of the development process, Pythagora is particularly well-suited for swiftly producing both minimum viable products and applications ready for production. Furthermore, it streamlines the development of scalable and maintainable solutions, catering to the needs of both emerging startups and established corporations alike. Overall, Pythagora aims to revolutionize the way developers approach application development by making it more accessible and efficient.